image generation

Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks CVPR 2019 FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery CVPR 2019 Flow-based Image-to-Image Translation with Feature Disentanglement NeurIPS 2019 Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design ICML 2019 Generating Diverse High-Fidelity Images with VQ-VAE-2 NeurIPS 2019 GENERATING HIGH FIDELITY IMAGES WITH SUBSCALE PIXEL NETWORKS AND MULTIDIMENSIONAL UPSCALING ICLR 2019 Generating Multiple Objects at Spatially Distinct Locations ICLR 2019 Geometry-Aware Face Completion and Editing AAAI 2019 High-Fidelity Image Generation With Fewer Labels ICML 2019 HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models NeurIPS 2019 Identity From Here, Pose From There: Self-Supervised Disentanglement and Generation of Objects Using Unlabeled Videos ICCV 2019 Image Generation From Small Datasets via Batch Statistics Adaptation ICCV 2019 Image Synthesis From Reconfigurable Layout and Style ICCV 2019 IM-Net for High Resolution Video Frame Interpolation CVPR 2019 Implicit Generation and Modeling with Energy Based Models NeurIPS 2019 Improved Precision and Recall Metric for Assessing Generative Models NeurIPS 2019 Improving GAN with Neighbors Embedding and Gradient Matching AAAI 2019 Improving MMD-GAN Training with Repulsive Loss Function ICLR 2019 Instance-Level Facial Attributes Transfer with Geometry-Aware Flow AAAI 2019 Invertible Convolutional Flow NeurIPS 2019 Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System ACL 2019 Joint Discriminative and Generative Learning for Person Re-Identification CVPR 2019 Kernel Mean Matching for Content Addressability of GANs ICML 2019 Label-Noise Robust Generative Adversarial Networks CVPR 2019 Large Scale Adversarial Representation Learning NeurIPS 2019